关键词: 正交小波变换, 最小均方, 自适应滤波, 体震信号

Abstract: A minimum mean square adaptive filtering algorithm based on the new step adjustment function of orthogonal wavelet transform was studied. The adaptive wavelet filtering method of orthogonal wavelet transform was expounded, and the reason why orthogonal wavelet transform can improve the convergence speed of the algorithm was explained. A new step adjustment function was applied to the least mean square adaptive filtering system based on orthogonal wavelet transform. The convergence speed and steady state error of the algorithm were tested by model recognition. The method was used to adaptively filtering the body vibration signal, a faster convergence speed and better filtering effect were achieved.

Key words: orthogonal wavelet transform, least mean square, adaptive filtering, body vibration signal